Frederic Besse

18 papers A* 1A 2Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Scaling Instructable Agents Across Many Simulated Worlds. CoRR SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young
2021	J	`jnl`	Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm. CoRR Karol Gregor, Frederic Besse
2020	J	`jnl`	Causally Correct Partial Models for Reinforcement Learning. CoRR Danilo J. Rezende, Ivo Danihelka, George Papamakarios, Nan Rosemary Ke, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing
2019	A*	`conf`	Shaping Belief States with Generative Environment Models for RL. NeurIPS Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
2019	J	`jnl`	Shaping Belief States with Generative Environment Models for RL. CoRR Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
2019	J	`jnl`	TF-Replicator: Distributed Machine Learning for Researchers. CoRR Peter Buchlovsky, David Budden, Dominik Grewe, Chris Jones, John Aslanides, Frederic Besse, Andy Brock, Aidan Clark, Sergio Gomez Colmenarejo, Aedan Pope, Fabio Viola, Dan Belov
2019	—	`conf`	Temporal Difference Variational Auto-Encoder. ICLR Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber
2018	J	`jnl`	Encoding Spatial Relations from Natural Language. CoRR Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
2018	J	`jnl`	Learning and Querying Fast Generative Models for Reinforcement Learning. CoRR Lars Buesing, Theophane Weber, Sébastien Racanière, S. M. Ali Eslami, Danilo Jimenez Rezende, David P. Reichert, Fabio Viola, Frederic Besse, Karol Gregor, Demis Hassabis, Daan Wierstra
2018	J	`jnl`	Learning models for visual 3D localization with implicit mapping. CoRR Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami
2018	J	`jnl`	Temporal Difference Variational Auto-Encoder. CoRR Karol Gregor, Frederic Besse
2016	A	`conf`	Convolution by Evolution: Differentiable Pattern Producing Networks. GECCO Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds, Frederic Besse, David Pfau, Max Jaderberg, Marc Lanctot, Daan Wierstra
2016	J	`jnl`	Convolution by Evolution: Differentiable Pattern Producing Networks. CoRR Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds, Frederic Besse, David Pfau, Max Jaderberg, Marc Lanctot, Daan Wierstra
2016	—	`conf`	Towards Conceptual Compression. NIPS Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
2016	J	`jnl`	Towards Conceptual Compression. CoRR Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
2014	—	`conf`	Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation. ECCV (3) Michael Hornacek, Frederic Besse, Jan Kautz, Andrew W. Fitzgibbon, Carsten Rother
2014	J	`jnl`	PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. Int. J. Comput. Vis. Frederic Besse, Carsten Rother, Andrew W. Fitzgibbon, Jan Kautz
2012	A	`conf`	PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. BMVC Frederic Besse, Carsten Rother, Andrew W. Fitzgibbon, Jan Kautz